Senior Data Scientist/ML Ops Engineer Lisboa

Senior Data Scientist/ML Ops Engineer
Lisboa
Lisboa, Lisboa, Portugal

Luza Tecnologia, part of the Belgian De Cronos Groep, specializes in Microsoft technology. We prioritize employee
- being and development, and our partnership with Microsoft is rooted in collaboration, innovation, and delivering tailored solutions for complex business challenges. Our Microsoft Hub in Portugal supports Microsoft Partners across Europe, helping them maximize the potential of Microsoft technology. We value a positive work environment, based on the following pillars: Happy People, Diverse People, Microsoft Skills and Give Back Time.

Job Description

This is a remote position.

We are seeking a highly skilled and experienced Senior Data Scientist / Senior ML Ops Engineer to join our team. This position plays a crucial support role in managing and resolving questions and issues related to one of our newly developed AI/ML applications.

• This position will have a crucial support role in handling questions / support for one of the new applications.
  
  
• Candidate will be responsible to analyse and identify issues in the newly developed AI/ML application.
  
  
• Candidate will also be responsible to coordinate the resolution with other (technical and functional) teams.
  
  
• Candidate will collaborate with business stakeholders to explain the issues in a
  - technical manner and the path to resolution.
  
  
• Ensures quality resolutions and implementations according to the CI/CD process focused around Jenkins, Domino and Sonarcube.
  
  
• Focus on following technologies & methodologies: Pandas / pyspark / Dash / kedro / yml / sql queries through Python / modeling / feature selection / model validation.
  
  

Requirements

• Impeccable professional proficiency in English.
  
  
• 7+ years of experience in building and/or maintaining python based ML/AI solutions and data pipelines.
  
  
• Candidate must have excellent python coding skills to quickly identify issues and work towards a resolution.
  
  
• High level of expertise in above mentioned technology & methodology stack.
  
  
• Flexibility in working across timezones, i. e. willing to shift working hours to accommodate meetings outside of regular working hours.
  
  
• Experience in working with productivity tools like JIRA / XRAY / Confluence.
  
  

Nice to have

• Experience in working in a global, complex, multinational organisation in a team spread across timezones.
  
  
• Prior exposure to the Pharmaceutical Industry and/or heavily regulated environment.
  
  
• Scientific Degree/Ph
  D in any pharmaceutical / life sciences field.
  
  
• Basic commercial insight as a consultant.
  
  

Benefits

• Food ticket
  
  
• Health insurance
  
  
• Training and access to certification vouchers
  
  
• Work-life balance initiatives
  
  
• Referral program
  
  
• Birthday off
  
  
• Give back day – enjoy a day to give back to society!